Abstract
The problem considered in this paper is how to discern and compare similarities in perceptually indiscernible objects in visual rough sets that are disjoint. The solution to the problem stems from the introduction of probe functions, object description, near set theory, perceptual systems, and perceptual indiscernibility relations. This leads to a new form of image analysis. © 2012 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Henry, C. J. (2012). Perceptual indiscernibility, rough sets, descriptively near sets, and image analysis. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7255 LNCS, 41–121. https://doi.org/10.1007/978-3-642-31903-7_3
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
